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AgentIndex
mcp-memory-service logo
mcp-memory-service
★ 2.0k
vs
mneme logo
mneme
★ 171

mcp-memory-service vs mneme

mcp-memory-service: MCP Memory Service prevents AI assistants from losing context across sessions by automatically capturing project architecture, decisions, and code patterns. This ensures your AI always remembers essential information, eliminating the need for repetitive re-explanation and saving valuable development time.; mneme: dsh-mneme is a DeepSeek Harness plugin providing sophisticated cross-session memory for LLMs. It not only stores information but actively manages it through features like background deduplication, conflict resolution, and auditable history, ensuring AI remembers past interactions.

01

TL;DR

mcp-memory-service logo
mcp-memory-serviceMemory & Context · ★ 2.0k
When to choose:
  • You use Claude Code, Claude Desktop, Cursor, VS Code or another MCP client and want chat sessions to stop starting from zero.
  • You want a choice of storage: local SQLite, Cloudflare for multi-device sync, or a hybrid.
  • You need team features: the README lists OAuth, a dashboard and document ingestion.
When to skip:
  • Your problem is codebase navigation rather than conversation memory; a code-graph tool or a project scaffold fits better.
  • You handle sensitive material and cannot put it in a persistent store, especially with cloud sync.
  • You want a short README to start from: it mixes release notes with documentation.
Read mcp-memory-service full review →
mneme logo
mnemeMemory & Context · ★ 171

Continuing project discussions across multiple sessions without repetition.

Read mneme full review →
02

Side-by-Side Comparison

Field
mcp-memory-service logomcp-memory-service
mneme logomneme
Category
Memory & Context
Memory & Context
Stars
★ 2.0k
★ 171
License
Apache-2.0
MIT
Install Command
pip install mcp-memory-service
dsh plugin --profile web add @modusensus/dsh-mneme && dsh web
Updated
1d ago
2d ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
AI Memory, Context Management, Developer Tools
LLM Memory, Cross-Session Context, DeepSeek Harness Plugin
03

Features

mcp-memory-service logomcp-memory-service
01Persistent Memory
02Smart Retrieval
03Multi-Client Compatibility
04Cloud Sync (Optional)
05Web Dashboard
mneme logomneme
01Replayable and Auditable Memory
02Conflict Resolution with Human Oversight
03Agent and Workspace Memory Isolation
04Offline-first Local Semantic Search
05Automatic Background Memory Consolidation
04

Use Cases

mcp-memory-service logomcp-memory-service
↳Maintaining AI context across multiple development sessions.
↳Avoiding repetitive explanations of project architecture and tech stack to AI.
↳Enhancing continuous and intelligent collaboration with AI assistants.
mneme logomneme
↳Continuing project discussions across multiple sessions without repetition.
↳Persisting AI's understanding of user preferences and coding habits long-term.
↳Automatic archiving and retrieval of organized research notes after closing chat windows.
05

Best For

mcp-memory-service logomcp-memory-service
EssentialTrending
mneme logomneme
—
FAQ

FAQ

What is the difference between mcp-memory-service and mneme?
Both mcp-memory-service and mneme are in the Memory & Context category. mcp-memory-service has 2.0k stars, while mneme has 171 stars.
Which is better, mcp-memory-service or mneme?
The best choice depends on your use case. Choose mcp-memory-service if Maintaining AI context across multiple development sessions., and mneme if Continuing project discussions across multiple sessions without repetition..
Is mcp-memory-service free or open source?
Yes, mcp-memory-service is open source on GitHub (Apache-2.0).
Is mneme free or open source?
Yes, mneme is open source on GitHub (MIT).
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